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Optimization of Process Parameters in Resistance Spot Welding Using Artificial Immune Algorithm

  • Sudhakar Uppada
  • Subbarama Kousik Suraparaju
  • M. V. A. Raju Bahubalendruni
  • Sendhil Kumar Natarajan
Conference paper
  • 49 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Welding is one of the fundamental manufacturing processes and is used for manufacturing components or assemblies with great strength in minimal time. Resistance spot welding (RSW) is utilized often as an efficacious method of joining for different works, most commonly in automobile and other industrial processes. Recent researches in welding are trending toward the economical process with optimum productivity. It is laborious to formulate a mathematical model for the analysis of RSW parameters, because of obscureness during the process with many parameters especially with the property of less operating time. A novel optimization method based on artificial immune algorithm (AIA) is presented in this article to find the optimum set of welding parameters for an economical process which offers the highest load carrying capacity at low power consumption.

Keywords

Resistance spot welding Parametric optimization Regression AIA 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Sudhakar Uppada
    • 1
  • Subbarama Kousik Suraparaju
    • 2
  • M. V. A. Raju Bahubalendruni
    • 2
  • Sendhil Kumar Natarajan
    • 2
  1. 1.GMRITRajamIndia
  2. 2.National Institute of Technology – PuducherryKaraikal (U.T. of Puducherry)India

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